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Wednesday, January 17, 2024 2:00 pm - 3:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Bioinformatics • Advancing Antibody Design: Integrating Protein Language Models for Enhanced Computational Strategies

Please note: This master’s thesis presentation will take place online.

Benyamin Jamialahmadi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Ali Ghodsi, Mohammad Kohandel

Monday, January 22, 2024 9:30 am - 10:30 am EST (GMT -05:00)

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Website Fingerprinting on LEO Satellite Internet

Please note: This master’s thesis presentation will take place in DC 2310.

Prabhjot Singh, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Diogo Barradas

Although encrypted channels, like those provided by anonymity networks such as Tor, have been put into effect, network adversaries have proven their capability to undermine users’ browsing privacy through website fingerprinting attacks.

Wednesday, January 24, 2024 12:00 pm - 1:00 pm EST (GMT -05:00)

PhD Seminar • Algorithms and Complexity • Fast Algorithms for Directed Graph Partitioning Using Flows and Reweighted Eigenvalues

Please note: This PhD seminar will take place in DC 3317 and online.

Robert Wang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lap Chi Lau

Wednesday, January 24, 2024 12:30 pm - 1:30 pm EST (GMT -05:00)

PhD Seminar • Data Systems • Efficient Dense Representation Learning for Information Retrieval

Please note: This PhD seminar will take place in DC 1304.

Sheng-Chieh (Jack) Lin, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Contrastive learning is a commonly used technique to train an effective neural retrieval model; however, it requires much computation resources (i.e., multiple GPUs or TPUs).

Thursday, January 25, 2024 11:30 am - 12:30 pm EST (GMT -05:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) • Analyzing Leakage of Personally Identifiable Information in Language Models

Please note: This PhD seminar will take place in DC 2310 and online.

Nils Lukas, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum